Remote Engineer | genai & agentic ai | remote Jobs – 22 Open Jobs Today

Lead GenAI / Agentic AI Engineer
Kasmoprav —Remote
- ₹1,00,000 - ₹1,20,000 a month
- Remote
- Azure
- Salesforce
- Master's degree
Quick apply
AI/ML Security Engineer – GenAI & Prompt Injection
Ruhumi Technologies —Remote
- Up to ₹80,000 a month
- Remote
- Java
- Master's degree
- Databases
Quick apply
7d
AI Engineer
Terminus Technologies —Remote
- ₹30,000 - ₹40,000 a month
- Overnight shift
- Remote
- Azure
- Master's degree
- SQL
- Flexible schedule
Quick apply
7d
AI & Data Engineer
Anovia —Remote
- ₹24,00,000 - ₹28,00,000 a year
- Remote
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
AI Engineer
Kasmoprav —Remote
- ₹50,000 - ₹60,000 a month
- Remote
- Azure
- Master's degree
- Databases
Quick apply
AI Engineer
UMENIT SOLUTIONS LLP —Remote
- ₹30,000 - ₹40,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Databricks Engineer (Knowledge / Context Layer – Agentic AI)- Contract
SAPLING INFOSYSTEMS —Remote
- ₹80,000 - ₹1,00,000 a month
- Remote
- Computer Science
- SQL
- AWS
Quick apply
2h
Generative AI Engineer
Mactores —Remote
- From ₹10,00,000 a year
- Full-time
- Remote
- English
- Java
- AWS
- Work from home
Quick apply
Principal AI Engineer
BuzzBoard —Remote
- Full-time
- Remote
- Master's degree
- APIs
- AI
Quick apply
Principal Enterprise AI Architect – Strategic Advisory & Governance
Prahartech —Remote
- ₹40,00,000 - ₹70,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- AWS
Quick apply
Lead AI Engineer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
22h
Product Owner – AI products & projects (India)
Codvo.ai —Remote
- Remote
- Microsoft Powerpoint
- Azure
- Master's degree
ML Engineer
Delphic Global —Remote
- ₹16,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
Quick apply
17h
Senior AI Knowledge & Governance Architect
Webvory —Remote
- ₹50,000 - ₹1,00,000 a month
- Full-time
- Remote
- Microsoft Access
- Azure
- English
Quick apply
10d
Principal AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,10,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- AWS
Quick apply
16h
Full-Stack AI
HelixBeat —Remote
- Full-time
- Remote
- JavaScript
- APIs
- AI
- Flexible schedule
Quick apply
Product Manager — AI Products
BuzzBoard —Remote
- Full-time
- Remote
- Master's degree
- AWS
- Analysis skills
Quick apply
ML Engineer
TECH NEXT —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
Quick apply
Senior MLOps Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
- Remote
- Azure
- AWS
- Machine learning
Quick apply
6d

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Lead GenAI / Agentic AI Engineer

Kasmoprav
Remote

Quick apply

Job details

Contractual / Temporary
₹1,00,000 - ₹1,20,000 a month

Qualifications

Azure
Law
Software deployment
Enterprise Software
Salesforce
System architecture
Master's degree
Databases
RBAC
AWS
REST
APIs
AI
Communication skills
Python

Full job description

Job Title: Lead GenAI / Agentic AI Engineer

Experience: 8+ Years
Location: Remote
Shift: IST
Budget: ₹1.30 LPM + GST

Job Summary

We are looking for an experienced Lead GenAI / Agentic AI Engineer with strong hands-on experience in designing, developing, and deploying production-grade Generative AI and Agentic AI solutions.

The ideal candidate should have worked on real-world enterprise AI implementations using LLMs, RAG, multi-agent architectures, orchestration frameworks, cloud platforms, and enterprise integrations. Candidates with only POC-level GenAI exposure may not be suitable for this requirement.

Key Responsibilities

Design and develop production-grade GenAI and Agentic AI solutions.
Build and deploy applications using LLMs such as OpenAI, Anthropic, and Azure OpenAI.
Design multi-agent architectures involving tool usage, memory, planning, guardrails, observability, and Human-in-the-Loop workflows.
Develop and optimize RAG pipelines for enterprise use cases.
Build backend AI services using Python, FastAPI, and asynchronous programming patterns.
Integrate AI applications with vector databases such as FAISS, Pinecone, and pgvector.
Design prompt engineering strategies and LLM evaluation frameworks.
Build HITL approval and review workflows for critical AI-driven decisions.
Deploy and manage GenAI applications on Azure or equivalent AWS/GCP platforms.
Implement secure credential management, managed identities, RBAC, and enterprise security standards.
Integrate AI solutions with enterprise applications and APIs.
Work with technical and business stakeholders to translate requirements into scalable AI solutions.
Provide technical leadership and guidance for GenAI and Agentic AI initiatives.

Mandatory Skills

8+ years of overall relevant experience.
Strong hands-on experience delivering production-grade GenAI / Agentic AI solutions.
Experience with LLM platforms such as:
OpenAI
Anthropic
Azure OpenAI
Strong experience with one or more Agentic AI frameworks:
LangGraph
LangChain
AutoGen
CrewAI
Strong Python development experience.
Hands-on experience with FastAPI.
Good understanding of asynchronous programming patterns.
Strong experience building RAG pipelines.
Experience with vector databases such as:
FAISS
Pinecone
pgvector
Strong Prompt Engineering skills.
Experience with LLM evaluations and testing.
Hands-on experience designing Human-in-the-Loop workflows.
Strong understanding of multi-agent system architecture.
Experience with tool calling, agent memory, planning, guardrails, and observability.
Ability to explain and implement appropriate trade-offs between deterministic workflows and LLM-based decision-making.

Cloud & Enterprise Deployment Skills

Hands-on experience with Azure services such as:

Azure OpenAI
Azure Container Apps
Azure Blob Storage
Azure Key Vault
Entra ID / RBAC
Managed Identity
Secure secrets and credential management

Equivalent experience with AWS or GCP can also be considered.

Enterprise Integration Experience

Candidates should have experience integrating AI solutions with enterprise platforms or systems such as:

Microsoft Graph API
Power Automate
Salesforce
REST APIs
Enterprise applications and external systems

Preferred Skills

Experience with n8n or similar workflow automation/orchestration tools.
Experience with enterprise GenAI security and governance.
Knowledge of LLM monitoring and observability.
Experience leading GenAI or Agentic AI technical implementations.
Strong communication and stakeholder management skills.

Ideal Candidate

We are looking for a hands-on GenAI / Agentic AI professional who can independently architect, develop, deploy, and lead enterprise-grade AI solutions.

The candidate should have strong practical experience in LLMs, RAG, Agentic AI, Python, multi-agent systems, cloud deployment, enterprise integrations, security, guardrails, observability, and HITL workflows.

Interested candidates can share their updated resume at:
[email protected]

Email Subject: Lead GenAI / Agentic AI Engineer

Pay: ₹100,000.00 - ₹120,000.00 per month

Work Location: Remote

Quick apply

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